Triple
T14958183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maybe (song) |
E372987
|
entity |
| Predicate | partOfBroadwaySeason |
P39737
|
FINISHED |
| Object | 1977 Broadway season |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 1977 Broadway season | Statement: [Maybe (song), partOfBroadwaySeason, 1977 Broadway season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfBroadwaySeason Context triple: [Maybe (song), partOfBroadwaySeason, 1977 Broadway season]
-
A.
broadwaySeason
chosen
Indicates that one entity is a Broadway production and the other is the specific Broadway season during which it was performed or active.
-
B.
appearedInBroadwayProduction
Indicates that an entity participated as part of a Broadway stage production of another work or show.
-
C.
hasBroadwayTheatreCode
Indicates that an entity is associated with a specific Broadway theatre identification code.
-
D.
hasBroadwayProduction
Indicates that a work or show has been produced and staged in a Broadway theater.
-
E.
hasBroadwayOpeningContext
Indicates that an entity is associated with contextual details specifically about its Broadway opening (such as time, place, or circumstances of the premiere).
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6cd85bc81909040b7ff78f62554 |
completed | April 15, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69de9a5d995881909e33658f5aea5582 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:40 a.m.